Posts Tagged Adaptive neuro-fuzzy inference system

[ARTICLE] Modeling Based on Computational Intelligence for Physiotherapeutic Rehabilitation Games – Full Text PDF


Over the last years, the use of computational environments, like serious games, has been one of the strategies to improve commitment and motivation of patients undergoing rehabilitation. Beyond providing motivation, these systems are able to simulate life activities and provide means to automatically monitor users interactions, assuring that the patient is performing the exercises correctly, thus allowing the user to perform the exercises without the need of constant monitoring by a health professional. The aim of this work is to develop a modeling for construction of serious games, whose interaction is given by gestures performed by hand and wrist. The model includes an automatic continuous evaluation of rehabilitation exercises executed by the patient and dynamic game balancing using computational intelligence methods.

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